Realtor.com is seeking a Staff Analytics Engineer for its digital analytics clickstream platform in Austin, Texas. This senior individual contributor role owns the technical strategy, architecture, and delivery outcomes that enable reliable measurement across web and mobile products.
Core Responsibilities
- Define the technical strategy, architecture, and roadmap for clickstream data collection across the organization, aligned to business objectives and KPIs at scale.
- Own data collection outcomes across web and mobile products, ensuring completeness, accuracy, and usability of clickstream data.
- Set measurement definitions, including what gets measured, why it matters, and how behavioral signals and event schemas support analytics, reporting, and experimentation needs.
- Translate stakeholder questions into unambiguous instrumentation specifications, including events, parameters, identifiers, schemas, and data contracts for engineering implementation.
- Identify instrumentation gaps proactively and drive resolution with engineering and QA teams.
- Audit tagging and tracking health through data analysis, surface improvement opportunities, and influence future measurement decisions.
- Lead root-cause analysis for complex data discrepancies and tracking issues, and drive architectural changes that prevent recurrence.
- Mentor senior and mid-level engineers, analysts, and peers, sharing instrumentation expertise across the organization.
Required Qualifications
- 8-10+ years in digital analytics or clickstream tracking implementation at enterprise scale, with experience owning outcomes end-to-end.
- Experience architecting, implementing, and operating enterprise clickstream platforms using technologies such as Amplitude, Adobe Analytics, Google Analytics, Segment, Snowplow, Google Tag Manager, and Kafka.
- Hands-on expertise designing event-based data models for web and mobile, including event taxonomies, parameter and identifier design, and data contracts.
- Ability to convert ambiguous business questions into precise instrumentation specifications, and coordinate delivery across Product Engineering, Analytics, QA, and platform partners.
- Strong JavaScript for tracking implementation, fluency with browser and mobile debugging tools, and experience designing scalable data pipelines.
- SQL proficiency in a cloud data warehouse such as Snowflake to validate data quality, investigate anomalies, and own analysis.
- Working knowledge of data governance, privacy, and consent frameworks, including GDPR and CCPA, and how they influence instrumentation design.
- Experience enabling self-service analytics at scale through standardized metrics frameworks, reporting taxonomies, or dashboards.
- Demonstrated use of AI-enabled tools (e.g., Claude, Gemini, Cortex, Copilot) as a productivity multiplier.
- Excellent written and verbal communication, including the ability to produce precise technical specifications, document architecture and governance decisions, explain tradeoffs, and influence across engineering, product, marketing, and analytics.
- Experience with consumer digital products at scale, such as real estate, media, or marketplace platforms.
- Bachelor’s degree in Analytics, Data Science, Information Systems, Computer Science, Economics, Marketing, or a relevant field.
Technologies
- Amplitude, Adobe Analytics, Google Analytics, Segment, Snowplow, Google Tag Manager
- Kafka, JavaScript, SQL, Snowflake
- GDPR, CCPA
- Claude, Gemini, Cortex, Copilot
Role Summary
This is a senior individual contributor role with broad technical authority. You will define the measurement strategy, standards, architecture, and roadmap that other teams and engineers across product, marketing, and engineering build against. You will serve as the clickstream subject matter expert across the organization, owning the full lifecycle from defining what gets measured and why through implementation and validation, and ensuring downstream teams receive reliable, well-documented data for reporting, analytics, and experimentation.
The role also includes cross-functional alignment on architecture decisions, mentoring engineers and analysts, and representing the data and analytics function in technical leadership and architecture review forums.
Location and Work Setting
